{"id":1937,"date":"2023-07-24T09:32:53","date_gmt":"2023-07-24T09:32:53","guid":{"rendered":"https:\/\/statorials.org\/it\/pitone-media-geometrica\/"},"modified":"2023-07-24T09:32:53","modified_gmt":"2023-07-24T09:32:53","slug":"pitone-media-geometrica","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/pitone-media-geometrica\/","title":{"rendered":"Come calcolare la media geometrica in python (con esempi)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Esistono due modi per calcolare la media geometrica in Python:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metodo 1: calcola la media geometrica utilizzando SciPy<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> gmean\n\n<span style=\"color: #008080;\">#calculate geometric mean\n<\/span>gmean([value1, value2, value3, ...])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metodo 2: calcolare la media geometrica utilizzando NumPy<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define custom function\n<\/span><span style=\"color: #008000;\">def<\/span> g_mean(x):\n    a = np. <span style=\"color: #3366ff;\">log<\/span> (x)\n    <span style=\"color: #008000;\">return<\/span> np. <span style=\"color: #3366ff;\">exp<\/span> ( <span style=\"color: #3366ff;\">a.mean<\/span> ())\n\n<span style=\"color: #008080;\">#calculate geometric mean<\/span>\ng_mean([value1, value2, value3, ...])<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Entrambi i metodi restituiranno esattamente gli stessi risultati.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Gli esempi seguenti mostrano come utilizzare nella pratica ciascuno di questi metodi.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 1: calcolare la media geometrica utilizzando SciPy<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Il codice seguente mostra come utilizzare la funzione <strong>gmean()<\/strong> della libreria <a href=\"https:\/\/www.scipy.org\/\" target=\"_blank\" rel=\"noopener\">SciPy<\/a> per calcolare la media geometrica di un array di valori:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> gmean\n\n<span style=\"color: #008080;\">#calculate geometric mean\n<\/span>gmean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">La media geometrica risulta essere <strong>4.8179<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 2: calcolare la media geometrica utilizzando NumPy<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Il codice seguente dimostra come scrivere una funzione personalizzata per calcolare una media geometrica utilizzando le funzioni integrate della libreria <a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy<\/a> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define custom function\n<\/span><span style=\"color: #008000;\">def<\/span> g_mean(x):\n    a = np. <span style=\"color: #3366ff;\">log<\/span> (x)\n<span style=\"color: #008000;\">return<\/span> np. <span style=\"color: #3366ff;\">exp<\/span> ( <span style=\"color: #3366ff;\">a.mean<\/span> ())\n\n<span style=\"color: #008080;\">#calculate geometric mean\n<\/span>g_mean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029<\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">La media geometrica risulta essere <strong>4.8179<\/strong> , che corrisponde al risultato dell&#8217;esempio precedente.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Come gestire gli zeri<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tieni presente che entrambi i metodi restituiranno uno zero se sono presenti zeri nell&#8217;array con cui stai lavorando.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Pertanto, puoi utilizzare il seguente pezzo di codice per rimuovere gli zeri da un array prima di calcolare la media geometrica:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create array with some zeros\n<\/span>x = [1, 0, 0, 6, 6, 0, 8, 9]\n\n<span style=\"color: #008080;\">#remove zeros from array \n<\/span>x_new = [i <span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> x <span style=\"color: #008000;\">if<\/span> i != 0]\n\n<span style=\"color: #008080;\">#view updated array\n<\/span><span style=\"color: #993300;\">print<\/span> (x_new)\n\n[1, 6, 6, 8, 9]\n<\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Risorse addizionali<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/it\/significa-errore-quadrato-python\/\" target=\"_blank\" rel=\"noopener\">Come calcolare l&#8217;errore quadratico medio (MSE) in Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/significa-errore-assoluto-python\/\" target=\"_blank\" rel=\"noopener\">Come calcolare l&#8217;errore assoluto medio in Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Esistono due modi per calcolare la media geometrica in Python: Metodo 1: calcola la media geometrica utilizzando SciPy from scipy. stats import gmean #calculate geometric mean gmean([value1, value2, value3, &#8230;]) Metodo 2: calcolare la media geometrica utilizzando NumPy import numpy as np #define custom function def g_mean(x): a = np. log (x) return np. exp [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Come calcolare la media geometrica in Python (con esempi) - Statorials<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega come calcolare la media geometrica di un array in Python, con diversi esempi.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/it\/pitone-media-geometrica\/\" \/>\n<meta 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